Poster Presentation 29th Annual Lorne Proteomics Symposium 2024

Diving Deep into the Faba Bean Proteome (#146)

Leigh Donnellan 1 , Peter Hoffmann 1 , Clifford Young 1 , Arineh Tahmasian 2
  1. Clinical Health Sciences, University of South Australia, Adelaide, South Australia, Australia
  2. Agriculture and Food, CSIRO, St. Lucia, QLD, Australia

It is estimated that global food systems will need to double production by 2050 to meet the requirements of a growing population. To meet this demand and mitigate the environmental impacts of meat production, alternative protein sources such as pulse crops are being investigated for their sustainability. Faba bean (Vicia faba) is an important pulse crop to Australian farmers, with approximately 678000 tonnes produced in 2020-2021. In addition to being a cash crop, it plays important roles in nitrogen fixation, disease break and weed control within crop rotations. Nutritionally, faba bean is desirable because of its high-quality plant protein and dietary fibre. It is therefore one of the few crops that could satisfy the criteria for sustainable alternative protein sources, while advancing the current market-trade for Australia.

Most research on the faba bean has focussed on the removal of vicine and convicine, which are antinutritional compounds that cause favism (haemolytic anaemia) in glucose-6-phosphate dehydrogenase deficient individuals. Conversely, only a few studies have investigated attributes such as crop quality, yield, resistance to environmental stressors or protein content. Furthermore, proteomic investigation to potentially address these questions have been extensively hampered by the low number of annotated proteins in the corresponding UniProt database (125 proteins).

Herein, we describe the first large scale investigation of the faba bean proteome from 20 varieties grown at two different locations in South Australia. Utilising theoretical protein sequences generated from two recently sequenced faba bean genomes, we produced an extensively annotated faba bean FASTA file. Using the combination of optimised protein extraction procedures, extensive high-pH fractionation and Zeno SWATH DIA, a spectral library containing more than 6000 protein groups and 47000 peptides was generated. This study is the first step in generating a comprehensive proteomic resource to aid researchers identify faba bean varieties with desirable nutritional traits for sustainable farming.